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Security Scan Report: greenacresfl.gov

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Submitted: Nov 23, 2025, 12:14:18 AMCompleted: Nov 23, 2025, 12:16:39 AMpubliccompleted
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Summary

This website contacted 126 IPs in 4 countries across 26 domains to perform 156 HTTP transactions. The main domain is greenacresfl.gov and was registered NaN years ago.

Submitted URL: https://greenacresfl.gov/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate municipal site; minor redirect concern but overall safe.

Risk Factors
Circular redirect detected (potential URL manipulation)
Safety Factors
Government .gov TLD
Well‑established domain (registered 2016)
No credential or payment forms present
No external domains linked
Domain age information unavailable

Details

Page Title

Greenacres Home Page - News & Announcements | Greenacres Florida

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(91%)

Domain Information

The domain 'greenacresfl.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'greenacresfl' stretches across 12 characters holding 4 vowels versus eight consonants. Segmentation suggests 3 words: green, acres, fl. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://greenacresfl.gov/

Page Load Overview

2.32s
Total Load Time
156
HTTP Requests
26
Domains
14.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:9,870 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
91%
documentation technical
62%
government
48%
finance banking
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
60162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
16142.250.184.206United States
AS15169GOOGLE
16157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
8142.250.186.131United States
AS15169GOOGLE
7142.250.184.195United States
AS15169GOOGLE
5142.250.184.196United States
AS15169GOOGLE
5216.58.206.42United States
AS15169GOOGLE
4142.250.186.54United States
AS15169GOOGLE
32.19.126.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3162.159.140.229United States
AS13335CLOUDFLARENET
156126--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5A30B2294D03013025790C63960771FA3A7D25BEA430A44BBECD7459BCBF4A9DBB6BD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:579smKb8Q8Q95sYLC2LYeee8SRG4dclZOz46VeyV6VqWnhuwGuwMcMeoePe8fd7m:579smKtsMLHG3NIwufd7m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106180:QQYVyAVCRCrcgDaKMDLC0gVoRlCKEPQjCKXAgEISEIEzgZKE3Dp8pCBANGWgMoUiAIUAUD5KcyMEK1aLhChkmIGtNEFwhKUL

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:00c3e30181c100ff
Perceptual Hash:ab30d4698a12df4f
Difference Hash:39831f190b13d315
Wavelet Hash:00e3ef81e1e301ff
Color Hash:#9ad279

Other Hashes

Crop Resistant:39831f190b13d315,8280a4e0e4a480a0,16542007333232b2,23292d0545141f40,3883071d8b0b5315

Scan History

Scan history not available

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